{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3d596ee6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据形状: (1000, 6)\n",
      "\n",
      "前5行数据:\n",
      "   换设备次数  支付失败次数  换IP次数  换IP国次数   交易金额  欺诈标签\n",
      "0      0      11      3       5  28836     1\n",
      "1      5       6      1       4  21966     1\n",
      "2      6       2      0       0  18199     1\n",
      "3      5       8      2       2  24803     1\n",
      "4      7      10      5       0  26277     1\n",
      "\n",
      "欺诈标签分布:\n",
      "欺诈标签\n",
      "0    600\n",
      "1    400\n",
      "Name: count, dtype: int64\n",
      "欺诈比例: 0.4\n",
      "\n",
      "训练集形状: (800, 5), 测试集形状: (200, 5)\n",
      "训练集欺诈比例: 0.4000, 测试集欺诈比例: 0.4000\n",
      "\n",
      "============================================================\n",
      "各模型性能评估\n",
      "============================================================\n",
      "\n",
      "=== 逻辑回归 ===\n",
      "准确率: 0.7450\n",
      "AUC分数: 0.7805\n",
      "\n",
      "=== 随机森林 ===\n",
      "准确率: 0.9150\n",
      "AUC分数: 0.8922\n",
      "\n",
      "=== 梯度提升树 ===\n",
      "准确率: 0.9150\n",
      "AUC分数: 0.9109\n",
      "\n",
      "=== AdaBoost ===\n",
      "准确率: 0.9150\n",
      "AUC分数: 0.8978\n",
      "\n",
      "=== SVM ===\n",
      "准确率: 0.6000\n",
      "AUC分数: 0.4895\n",
      "\n",
      "=== K近邻 ===\n",
      "准确率: 0.5250\n",
      "AUC分数: 0.4871\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "模型性能比较汇总\n",
      "============================================================\n",
      "         模型    准确率     AUC分数\n",
      "2     梯度提升树  0.915  0.910937\n",
      "3  AdaBoost  0.915  0.897813\n",
      "1      随机森林  0.915  0.892240\n",
      "0      逻辑回归  0.745  0.780521\n",
      "4       SVM  0.600  0.489479\n",
      "5       K近邻  0.525  0.487083\n",
      "\n",
      "============================================================\n",
      "特征重要性分析\n",
      "============================================================\n",
      "随机森林特征重要性:\n",
      "     特征名称       重要性\n",
      "0   换设备次数  0.260685\n",
      "3  换IP国次数  0.242043\n",
      "1  支付失败次数  0.206437\n",
      "4    交易金额  0.158484\n",
      "2   换IP次数  0.132350\n",
      "\n",
      "梯度提升树特征重要性:\n",
      "     特征名称       重要性\n",
      "0   换设备次数  0.374467\n",
      "3  换IP国次数  0.300352\n",
      "1  支付失败次数  0.189518\n",
      "4    交易金额  0.082856\n",
      "2   换IP次数  0.052807\n"
     ]
    },
    {
     "data": {
      "image/png": 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vLs5h3Az5tYbKj3VNfv1vdH78byffdf75rqX8+X3n1+/6WhFKAQAAAAAAwHIMdA4AAAAAAADLEUoBAAAAAADAcoRSAAAAAAAAsByhFAAAAAAAACxHKAUAudi3b99N30d6errS0tKue9lz587leX0AAAArUEMBuBaEUgDueg8++KCWL19uN23jxo1q0qRJrstv375ddevW1ZYtWxQXF6ekpCQlJyfbfZKSkhQfH3/F/RqGofDwcP3xxx+aM2eO5s+fbzd/6tSpqlGjhvz9/eXv769SpUqpYMGC8vf3V8mSJeXn52fOq1GjhsaMGWO3frVq1XT06NEc+w0ICNCcOXPy0DMAAACXRw0F4GZzutUNAICbZdSoUXr44Yfl4eEhX19fSdIHH3yguXPnKiUlRREREapUqZIyMzPVpUsXffDBB4qLi1PPnj31xhtv6KGHHlKtWrX+r707C4ny++M4/p6lmczIciFqWiQrMI0usouyxSSiKGqyKIsWLyIqNCgUK6SNiBbrIrowyKyLiuIXCQWt1AhmgkmZFW3GtBOtbtNszvwuoofEX8s/av5gnxcIPjPnOef4XH34noevPHz4ELPZjM/nw2QyYbPZCIVCDBkyhLq6OuDziVt2djYejwePx0MgEODZs2f079+fgQMH0rt3bxwOB62trURHRwOQm5tLbm6usd+SkhKqq6s5dOgQ+/btw+12U1xc/M2/z26307VrVwBu3brF8uXLqaqqIioqCpvN9oeeqoiIiHR2ylAiEikqSolIp3Xs2DGmTp2KyWTCZDIBUFhYyLp166itrWXt2rW4XC5CoRDBYJDW1laysrIYMGAA27ZtAzACE0BOTg79+vVj69at7dYJBoMkJCRQWlpKTEwMsbGxWK1WEhMTOXbsGGlpacbYUCiE1+s1gtDJkycpLCwEoKmpCa/XS2VlJY2NjQSDQcrLywFYtGgRGzduBMDn82Gz2TCbzbhcLsLhMPX19cTGxgJgsVgwmz+/CBsIBLBarcbfLyIiIvIjylDKUCKRoqKUiHRKnz594sGDB2RmZuLxeKioqCArK4sjR450GGs2m7HZbFy4cIGnT59SXV3NsmXLmDhxIgsXLvzhWmfOnGHVqlUdTtZevHjBrFmzsNvtxmdtbW0kJSVx6dIlY5+pqamUl5d/85Rv06ZNNDc3G3Ps3buXt2/fAnDjxg3q6+uxWCxUVFQQHx9Pc3Mzly9fJjc3F6/Xy/3793E4HL/0HEVEROTvogylDCUSSSpKiUinVFNTQ3p6Oi6XiylTplBQUEB6ejoJCQlERUURCAT48OEDiYmJAPj9fnbv3k1tbS3Xrl3j/Pnz5Ofnf3P+cDhMKBTCYrHgdDpxOp3cuXOH+vp6Y0xeXh4rVqxg0KBBAHTp0oXZs2e3m+dnT9++HtfQ0MDIkSMBmD9/Pvn5+TQ1NXHu3DnS09NxOp1kZ2eTnZ39U3OLiIiIfKEMpQwlEklqdC4inZLVamX+/PnGtcVioWvXrrjdbtxuN69evcLr9ZKTk8PSpUtxu93MmTOHly9fsnDhQjZs2EBycjLHjx9nypQpxjx79uwhPj6e6OhoVqxY0W7NM2fOcODAAaORZzgcxu/34/V6ef78OcuXL++wz+joaB49ekRqair79u3j4sWLpKSkUFJSwrlz50hNTeWff/6hV69exj11dXUkJycD4HA4KC4upqmpidGjR//uxygiIiJ/GWUoEYkkvSklIp3SmDFjGDNmjHF99uxZKisrKSgo+M+TNbPZzJMnT5g0aRJWq9XoJwDQ2tpq/L5mzZoO/RC+sNlsXL9+HbfbDUBjYyOlpaXY7Xb8fj8Wi6XdeL/fz8yZM3E6nQB4PB5GjRpFXl5eh/AVCAR49+4dcXFxTJ48mREjRhjfpaSkcPToUfx+v9FnATAC3devvouIiIh8jzKUMpRIJKkoJSKdkt/vp6amhpMnT1JdXY3P52PdunWMGzeOR48eGYHJ4/EAUFxczK5du5g+fTovX7405rFYLB2C0PfWHDZsGDNmzABgx44dOJ1OHA4Hr1+/7vDvjEeOHEljY6Oxl2fPntGrVy+2b9/O9u3befPmDTabjZiYGEKhED6fj9evX7N58+Z28/Ts2ZNAIEBcXBxRUVFGP4SVK1fSrVs3nj9//msPUURERP46ylDKUCKRpKKUiHRKb968Yf369cydO5dhw4axceNGMjIyyMjIoKqqioyMDAA2bdqE1WqlqKjIOBWbN2/eL605Y8YMkpKSjOsuXbrQv39/Bg0axODBg401v/i6d8Lu3bspKyvj6tWrxMTE8PjxY8aOHYvL5WLo0KE/XDszM9M4jVQ/BBEREflVylDKUCKRpKKUiHRKDoeDiooKAE6fPm18Hg6HycnJ4fDhw0yYMKHdPSaT6Zdf025oaMDpdNKjRw9jjqamJo4ePUr37t0BaG5upry8nLKysnb3vn37ltu3b9PW1kZaWhqZmZm4XC62bNnyU2FKRERE5HdRhhKRSFJRSkQ6vXA4TDgcBsBut3Pw4EHi4uIAaGlpadcAEz6/Qh4MBvF4PIRCof+cMxQKGb0GTCYTSUlJ3L9/v92YxMREDhw4QFpa2nf3Fx8fT1lZGQ0NDezfv5/S0lLGjx9PUVERp06dYtq0acyaNYs+ffq0uy8YDLb7+bKXrwUCAUKhkHoiiIiIyP9MGUoZSuRPU1FKRDo9j8eDz+czrjMzM/F6vSQkJBAbG9uhT4HP5+PTp08kJCRgt9sxm83Ex8cb35eUlBAMBvH5fNy8eZOPHz+SlZVFTEwMNpvNGNfS0sLixYs7fDZ8+HBOnTrF3bt3ycvLw+v1cu/ePfr27cuCBQt48OABcXFx+Hw+Ll68yMGDB1m9ejUnTpxg5syZxlyBQACv18uVK1dYsmQJUVFRRqAqKiqiqKgIv99PdnY2O3fu/O3PVURERDo3ZShlKJE/zRT+UvoWEfnLtLW1/XQDzj/lxIkT9OnTh5SUFGJjY7857v3799/9XkRERCRSlKFE5HdRUUpERERERERERCLO/P/egIiIiIiIiIiI/H1UlBIRERERERERkYhTUUpERERERERERCJORSkREREREREREYk4FaVERERERERERCTiVJQSEREREREREZGIU1FKREREREREREQiTkUpERERERERERGJOBWlREREREREREQk4v4FzdT1/siSmBUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "逻辑回归系数分析\n",
      "============================================================\n",
      "     特征名称        系数     系数绝对值\n",
      "3  换IP国次数  0.451382  0.451382\n",
      "0   换设备次数  0.301323  0.301323\n",
      "1  支付失败次数  0.106692  0.106692\n",
      "2   换IP次数  0.004211  0.004211\n",
      "4    交易金额 -0.000116  0.000116\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "最佳模型: 梯度提升树\n",
      "最佳AUC分数: 0.9109\n",
      "============================================================\n",
      "\n",
      "分类报告:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.99      0.93       120\n",
      "           1       0.98      0.80      0.88        80\n",
      "\n",
      "    accuracy                           0.92       200\n",
      "   macro avg       0.93      0.90      0.91       200\n",
      "weighted avg       0.92      0.92      0.91       200\n",
      "\n",
      "混淆矩阵:\n",
      "[[119   1]\n",
      " [ 16  64]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "XGBoost模型对比\n",
      "============================================================\n",
      "原始XGBoost AUC: 0.9049\n",
      "调优XGBoost AUC: 0.9000\n",
      "\n",
      "包含XGBoost的完整模型比较:\n",
      "            模型    准确率     AUC分数\n",
      "0        梯度提升树  0.915  0.910937\n",
      "6  XGBoost(原始)  0.920  0.904948\n",
      "7  XGBoost(调优)  0.900  0.900000\n",
      "1     AdaBoost  0.915  0.897813\n",
      "2         随机森林  0.915  0.892240\n",
      "3         逻辑回归  0.745  0.780521\n",
      "4          SVM  0.600  0.489479\n",
      "5          K近邻  0.525  0.487083\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "最终模型性能排名\n",
      "============================================================\n",
      "            模型    准确率     AUC分数\n",
      "0        梯度提升树  0.915  0.910937\n",
      "1  XGBoost(原始)  0.920  0.904948\n",
      "2  XGBoost(调优)  0.900  0.900000\n",
      "3     AdaBoost  0.915  0.897813\n",
      "4         随机森林  0.915  0.892240\n",
      "5         逻辑回归  0.745  0.780521\n",
      "6          SVM  0.600  0.489479\n",
      "7          K近邻  0.525  0.487083\n",
      "\n",
      "🎯 推荐使用模型: 梯度提升树\n",
      "📊 最佳AUC分数: 0.9109\n"
     ]
    }
   ],
   "source": [
    "# 设置中文字体支持\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 1.读取数据\n",
    "import pandas as pd\n",
    "df = pd.read_excel(\"D:\\贺之恒的python\\pppython\\python商业数据分析\\@Python大数据分析与机器学习商业案例实战\\第10章 机器学习神器：XGBoost&LightGBM模型\\源代码汇总_Pycharm\\信用卡交易数据.xlsx\")\n",
    "print(\"数据形状:\", df.shape)\n",
    "print(\"\\n前5行数据:\")\n",
    "print(df.head())\n",
    "\n",
    "print(\"\\n欺诈标签分布:\")\n",
    "print(df['欺诈标签'].value_counts())\n",
    "print(\"欺诈比例:\", df['欺诈标签'].mean())\n",
    "\n",
    "# 2.提取特征变量和目标变量\n",
    "X = df.drop(columns='欺诈标签')\n",
    "y = df['欺诈标签']    \n",
    "\n",
    "# 3.划分训练集和测试集\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=123, stratify=y)\n",
    "\n",
    "print(f\"\\n训练集形状: {X_train.shape}, 测试集形状: {X_test.shape}\")\n",
    "print(f\"训练集欺诈比例: {y_train.mean():.4f}, 测试集欺诈比例: {y_test.mean():.4f}\")\n",
    "\n",
    "# 4.导入多种模型\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, AdaBoostClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score, roc_curve, classification_report, confusion_matrix\n",
    "import numpy as np\n",
    "\n",
    "# 创建模型字典\n",
    "models = {\n",
    "    '逻辑回归': LogisticRegression(random_state=123),\n",
    "    '随机森林': RandomForestClassifier(random_state=123),\n",
    "    '梯度提升树': GradientBoostingClassifier(random_state=123),\n",
    "    'AdaBoost': AdaBoostClassifier(random_state=123),\n",
    "    'SVM': SVC(probability=True, random_state=123),\n",
    "    'K近邻': KNeighborsClassifier()\n",
    "}\n",
    "\n",
    "# 存储结果\n",
    "results = {}\n",
    "\n",
    "# 5.训练和评估各个模型\n",
    "print(\"\\n\" + \"=\"*60)\n",
    "print(\"各模型性能评估\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "for model_name, model in models.items():\n",
    "    print(f\"\\n=== {model_name} ===\")\n",
    "    \n",
    "    # 模型训练\n",
    "    model.fit(X_train, y_train)\n",
    "    \n",
    "    # 模型预测\n",
    "    y_pred = model.predict(X_test)\n",
    "    y_pred_proba = model.predict_proba(X_test)[:, 1]\n",
    "    \n",
    "    # 评估指标\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    auc_score = roc_auc_score(y_test, y_pred_proba)\n",
    "    \n",
    "    print(f\"准确率: {accuracy:.4f}\")\n",
    "    print(f\"AUC分数: {auc_score:.4f}\")\n",
    "    \n",
    "    # 存储结果\n",
    "    results[model_name] = {\n",
    "        'model': model,\n",
    "        'accuracy': accuracy,\n",
    "        'auc': auc_score,\n",
    "        'y_pred': y_pred,\n",
    "        'y_pred_proba': y_pred_proba\n",
    "    }\n",
    "\n",
    "# 6.绘制所有模型的ROC曲线\n",
    "plt.figure(figsize=(12, 8))\n",
    "colors = ['blue', 'red', 'green', 'orange', 'purple', 'brown']\n",
    "\n",
    "for i, (model_name, result) in enumerate(results.items()):\n",
    "    fpr, tpr, _ = roc_curve(y_test, result['y_pred_proba'])\n",
    "    plt.plot(fpr, tpr, color=colors[i], lw=2, \n",
    "             label=f'{model_name} (AUC = {result[\"auc\"]:.3f})')\n",
    "\n",
    "plt.plot([0, 1], [0, 1], 'k--', lw=2, label='随机分类器 (AUC = 0.5)')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('假正率 (False Positive Rate)', fontsize=12)\n",
    "plt.ylabel('真正率 (True Positive Rate)', fontsize=12)\n",
    "plt.title('金融反欺诈模型 - ROC曲线比较', fontsize=14)\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 7.比较模型性能\n",
    "print(\"\\n\" + \"=\"*60)\n",
    "print(\"模型性能比较汇总\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "performance_df = pd.DataFrame({\n",
    "    '模型': list(results.keys()),\n",
    "    '准确率': [result['accuracy'] for result in results.values()],\n",
    "    'AUC分数': [result['auc'] for result in results.values()]\n",
    "}).sort_values('AUC分数', ascending=False)\n",
    "\n",
    "print(performance_df)\n",
    "\n",
    "# 8.特征重要性分析\n",
    "print(\"\\n\" + \"=\"*60)\n",
    "print(\"特征重要性分析\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "# 随机森林的特征重要性\n",
    "rf_model = results['随机森林']['model']\n",
    "rf_importances = pd.DataFrame({\n",
    "    '特征名称': X.columns,\n",
    "    '重要性': rf_model.feature_importances_\n",
    "}).sort_values('重要性', ascending=False)\n",
    "\n",
    "print(\"随机森林特征重要性:\")\n",
    "print(rf_importances)\n",
    "\n",
    "# 可视化特征重要性\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.barh(rf_importances['特征名称'][:10], rf_importances['重要性'][:10])\n",
    "plt.xlabel('特征重要性')\n",
    "plt.title('随机森林 - 前10重要特征')\n",
    "plt.gca().invert_yaxis()\n",
    "\n",
    "# 梯度提升树的特征重要性\n",
    "gbdt_model = results['梯度提升树']['model']\n",
    "gbdt_importances = pd.DataFrame({\n",
    "    '特征名称': X.columns,\n",
    "    '重要性': gbdt_model.feature_importances_\n",
    "}).sort_values('重要性', ascending=False)\n",
    "\n",
    "print(\"\\n梯度提升树特征重要性:\")\n",
    "print(gbdt_importances)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.barh(gbdt_importances['特征名称'][:10], gbdt_importances['重要性'][:10])\n",
    "plt.xlabel('特征重要性')\n",
    "plt.title('梯度提升树 - 前10重要特征')\n",
    "plt.gca().invert_yaxis()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 9.逻辑回归的系数分析\n",
    "print(\"\\n\" + \"=\"*60)\n",
    "print(\"逻辑回归系数分析\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "lr_model = results['逻辑回归']['model']\n",
    "lr_coefficients = pd.DataFrame({\n",
    "    '特征名称': X.columns,\n",
    "    '系数': lr_model.coef_[0],\n",
    "    '系数绝对值': abs(lr_model.coef_[0])\n",
    "}).sort_values('系数绝对值', ascending=False)\n",
    "\n",
    "print(lr_coefficients)\n",
    "\n",
    "# 可视化逻辑回归系数\n",
    "plt.figure(figsize=(10, 6))\n",
    "top_coeff = lr_coefficients.head(15).sort_values('系数', ascending=True)\n",
    "plt.barh(top_coeff['特征名称'], top_coeff['系数'])\n",
    "plt.xlabel('系数值')\n",
    "plt.title('逻辑回归系数分析 - 前15特征')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 10.选择最佳模型并进行详细分析\n",
    "best_model_name = performance_df.iloc[0]['模型']\n",
    "best_model = results[best_model_name]['model']\n",
    "best_auc = performance_df.iloc[0]['AUC分数']\n",
    "\n",
    "print(f\"\\n\" + \"=\"*60)\n",
    "print(f\"最佳模型: {best_model_name}\")\n",
    "print(f\"最佳AUC分数: {best_auc:.4f}\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "# 使用最佳模型进行详细预测分析\n",
    "best_y_pred = results[best_model_name]['y_pred']\n",
    "best_y_pred_proba = results[best_model_name]['y_pred_proba']\n",
    "\n",
    "print(\"\\n分类报告:\")\n",
    "print(classification_report(y_test, best_y_pred))\n",
    "\n",
    "print(\"混淆矩阵:\")\n",
    "cm = confusion_matrix(y_test, best_y_pred)\n",
    "print(cm)\n",
    "\n",
    "# 可视化混淆矩阵\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.imshow(cm, interpolation='nearest', cmap=plt.cm.Blues)\n",
    "plt.title(f'{best_model_name} - 混淆矩阵')\n",
    "plt.colorbar()\n",
    "tick_marks = np.arange(2)\n",
    "plt.xticks(tick_marks, ['非欺诈', '欺诈'])\n",
    "plt.yticks(tick_marks, ['非欺诈', '欺诈'])\n",
    "plt.xlabel('预测标签')\n",
    "plt.ylabel('真实标签')\n",
    "\n",
    "# 在图中添加数字\n",
    "thresh = cm.max() / 2.\n",
    "for i, j in np.ndindex(cm.shape):\n",
    "    plt.text(j, i, format(cm[i, j], 'd'),\n",
    "             horizontalalignment=\"center\",\n",
    "             color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 11.模型预测概率分布分析\n",
    "plt.figure(figsize=(12, 5))\n",
    "\n",
    "# 预测概率分布\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.hist(best_y_pred_proba[y_test == 0], bins=50, alpha=0.7, label='非欺诈', color='blue')\n",
    "plt.hist(best_y_pred_proba[y_test == 1], bins=50, alpha=0.7, label='欺诈', color='red')\n",
    "plt.xlabel('预测概率')\n",
    "plt.ylabel('频数')\n",
    "plt.title(f'{best_model_name} - 预测概率分布')\n",
    "plt.legend()\n",
    "\n",
    "# 前20个样本的预测结果\n",
    "plt.subplot(1, 2, 2)\n",
    "sample_indices = range(20)\n",
    "plt.scatter(sample_indices, y_test.iloc[sample_indices], color='red', label='实际值', s=100, alpha=0.7)\n",
    "plt.scatter(sample_indices, best_y_pred_proba[sample_indices], color='blue', label='预测概率', alpha=0.7)\n",
    "plt.xlabel('样本索引')\n",
    "plt.ylabel('标签/概率')\n",
    "plt.title('前20个样本预测对比')\n",
    "plt.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 12.添加XGBoost模型进行对比（修复了append问题）\n",
    "print(\"\\n\" + \"=\"*60)\n",
    "print(\"XGBoost模型对比\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "from xgboost import XGBClassifier\n",
    "\n",
    "# 原始XGBoost模型\n",
    "xgb_original = XGBClassifier(n_estimators=100, learning_rate=0.05, random_state=123)\n",
    "xgb_original.fit(X_train, y_train)\n",
    "xgb_y_pred_proba = xgb_original.predict_proba(X_test)[:, 1]\n",
    "xgb_auc = roc_auc_score(y_test, xgb_y_pred_proba)\n",
    "print(f\"原始XGBoost AUC: {xgb_auc:.4f}\")\n",
    "\n",
    "# 调优后的XGBoost模型\n",
    "xgb_tuned = XGBClassifier(max_depth=1, n_estimators=100, learning_rate=0.05, random_state=123)\n",
    "xgb_tuned.fit(X_train, y_train)\n",
    "xgb_tuned_y_pred_proba = xgb_tuned.predict_proba(X_test)[:, 1]\n",
    "xgb_tuned_auc = roc_auc_score(y_test, xgb_tuned_y_pred_proba)\n",
    "print(f\"调优XGBoost AUC: {xgb_tuned_auc:.4f}\")\n",
    "\n",
    "# 修复：使用concat替代append\n",
    "xgb_results = pd.DataFrame({\n",
    "    '模型': ['XGBoost(原始)', 'XGBoost(调优)'],\n",
    "    '准确率': [\n",
    "        accuracy_score(y_test, xgb_original.predict(X_test)),\n",
    "        accuracy_score(y_test, xgb_tuned.predict(X_test))\n",
    "    ],\n",
    "    'AUC分数': [xgb_auc, xgb_tuned_auc]\n",
    "})\n",
    "\n",
    "# 合并结果\n",
    "performance_df = pd.concat([performance_df, xgb_results], ignore_index=True)\n",
    "performance_df = performance_df.sort_values('AUC分数', ascending=False)\n",
    "\n",
    "print(\"\\n包含XGBoost的完整模型比较:\")\n",
    "print(performance_df)\n",
    "\n",
    "# 13.最终可视化所有模型（包含XGBoost）\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "# 添加XGBoost到ROC曲线\n",
    "colors_extended = ['blue', 'red', 'green', 'orange', 'purple', 'brown', 'pink', 'gray']\n",
    "\n",
    "# 绘制基础模型的ROC曲线\n",
    "for i, (model_name, result) in enumerate(results.items()):\n",
    "    fpr, tpr, _ = roc_curve(y_test, result['y_pred_proba'])\n",
    "    plt.plot(fpr, tpr, color=colors_extended[i], lw=2, \n",
    "             label=f'{model_name} (AUC = {result[\"auc\"]:.3f})')\n",
    "\n",
    "# 添加XGBoost的ROC曲线\n",
    "fpr_xgb, tpr_xgb, _ = roc_curve(y_test, xgb_y_pred_proba)\n",
    "plt.plot(fpr_xgb, tpr_xgb, color=colors_extended[6], lw=2, \n",
    "         label=f'XGBoost(原始) (AUC = {xgb_auc:.3f})')\n",
    "\n",
    "fpr_xgb_tuned, tpr_xgb_tuned, _ = roc_curve(y_test, xgb_tuned_y_pred_proba)\n",
    "plt.plot(fpr_xgb_tuned, tpr_xgb_tuned, color=colors_extended[7], lw=2, \n",
    "         label=f'XGBoost(调优) (AUC = {xgb_tuned_auc:.3f})')\n",
    "\n",
    "plt.plot([0, 1], [0, 1], 'k--', lw=2, label='随机分类器 (AUC = 0.5)')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('假正率 (False Positive Rate)', fontsize=12)\n",
    "plt.ylabel('真正率 (True Positive Rate)', fontsize=12)\n",
    "plt.title('金融反欺诈模型 - 所有模型ROC曲线比较', fontsize=14)\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 14.最终模型排名\n",
    "print(\"\\n\" + \"=\"*60)\n",
    "print(\"最终模型性能排名\")\n",
    "print(\"=\"*60)\n",
    "\n",
    "print(performance_df.reset_index(drop=True))\n",
    "\n",
    "# 输出最佳模型建议\n",
    "final_best_model = performance_df.iloc[0]['模型']\n",
    "final_best_auc = performance_df.iloc[0]['AUC分数']\n",
    "print(f\"\\n🎯 推荐使用模型: {final_best_model}\")\n",
    "print(f\"📊 最佳AUC分数: {final_best_auc:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb369145",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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